DEVELOPMENT... OpenML
Run
9032

Run 9032

Task 35 (Supervised Classification) dermatology Uploaded 22-05-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(1)_Wweka.classifiers.trees.J48
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.J48(1)_C0.25
weka.J48(1)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9707
Per class
F measure
0.9286
Per class
Kappa
0.9108
KB relative information score
328.5839
Mean absolute error
0.0303
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.93
Per class
Predictive accuracy
0.929
Prior entropy
2.4378
Recall
0.929
Per class
Relative absolute error
0.1139
Root mean prior squared error
0.3649
Root mean squared error
0.1485
Root relative squared error
0.4071
SciMark benchmark
919.4254[572.2574095583288869.1723055339384483.449727694041915.62691531260941756.6205822745662]